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A Unified Model of Performance for Predicting the Effects of Sleep and Caffeine
Author(s) -
Sridhar Ramakrishnan,
Nancy J. Wesensten,
Gary H. Kamimori,
James E. Moon,
Thomas J. Balkin,
Jaques Reifman
Publication year - 2016
Publication title -
sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.222
H-Index - 207
eISSN - 1550-9109
pISSN - 0161-8105
DOI - 10.5665/sleep.6164
Subject(s) - sleep (system call) , caffeine , psychology , cognitive psychology , medicine , computer science , psychiatry , operating system
Existing mathematical models of neurobehavioral performance cannot predict the beneficial effects of caffeine across the spectrum of sleep loss conditions, limiting their practical utility. Here, we closed this research gap by integrating a model of caffeine effects with the recently validated unified model of performance (UMP) into a single, unified modeling framework. We then assessed the accuracy of this new UMP in predicting performance across multiple studies.

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